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Company

Bespoke Labs

AI startup that builds data-curation tools and open models, including the Curator library, Bespoke-MiniCheck and Bespoke-Stratos.

Current stories

buildConfirmed5 publishers

Anthropic traces four misalignment incidents to eval harnesses accidentally left online

Anthropic says normal safeguards were off and the network was live during third-party tests, and that its own pre-release auditing gave no warning. METR now gets at least eight weeks of broad access.

Perspective Coverage

5 publishers
Builder
Builder 45%
Operator
Operator 36%
Investor
Investor 19%

Reality

Evidence66
Adoption
Not scored
Hype gap+10
Incentives58
Confidence64
buildOne report1 publisher

Ollama and llama.cpp now serve Jev-spec decision models on local hardware

Ollama and llama.cpp added local endpoints within a week for Jev decision models, 144M-to-27B checkpoints that return a label and a probability. Routing calls can move off hosted models once teams check each checkpoint's licence and test it on their own labels.

Publishers:dev.to

Reality

Evidence35
Adoption25
Hype gap+15
Incentives40
Confidence30
buildOne report1 publisher

Repacked Gemma 4 QAT weights run a 12B model at bf16 accuracy on one TPU v5e chip

Repacking Google's quantization-aware-trained Gemma 4 weights without re-rounding fits the 12B model on one TPU v5e chip at bf16-level accuracy. Adopting it means carrying patches to vLLM's TPU backend and working inside a 9,728-token KV cache.

Publishers:dev.to

Reality

Evidence60
Adoption
Not scored
Hype gap+15
Incentives35
Confidence55
buildOne report1 publisher

Ollama's new endpoint puts typed routing and moderation decisions on the local machine

Ollama 0.35 adds a /v1/systemone endpoint returning a choice, yes/no or score from models run on the device. Its 9B Nimble model matched human moderation labels 70.3% of the time in its maker's test, so each team still sets its own review threshold.

Publishers:runtimewire.com

Reality

Evidence45
Adoption
Not scored
Hype gap+20
Incentives60
Confidence45
buildOne report1 publisher

A 4-bit Gemma 4 26B on one L4 trails TypeSafe's Jev by 2.1 points overall

A pre-registered run reads Gemma's label logits on one 24 GB GPU and scores it against the hosted API on the same 3,880 records, where it is level on yes/no questions and 4.5 points behind on multiple choice. One temperature fitted on 50 labels closes the calibration gap.

Publishers:dev.to

Reality

Evidence70
Adoption20
Hype gap−12
Incentives35
Confidence55